形态学降噪在转子分形故障状态识别中的应用  

Application of Morphological De-nosing in Rotor Fault State Identifying by Fractal Method

作　　者：杜必强[1] 王松岭[1] 唐贵基[1] 

机构地区：[1]华北电力大学能源与动力工程学院,河北省保定市071003

出　　处：《中国电机工程学报》2008年第26期71-76,共6页Proceedings of the CSEE

基　　金：国家自然科学基金项目(50677017);河北省自然科学基金项目(E2008001237)~~

摘　　要：将描述混沌运动的关联维数用于转子系统振动信号分析,并针对现场实测振动信号中存在的噪声污染,引入形态滤波器对信号进行降噪处理。分析比较降噪前后转子4种状态(正常、油膜涡动、局部碰摩、全周碰摩)下信号的关联维数,结果表明利用含有噪声信号的关联维数来描述系统的特征行为是不可靠的,对现场实测信号进行降噪处理是必要的。形态滤波器具有良好的降噪效果,降噪后关联维数有效地反映和区分了转子的不同状态。将降噪后的关联维数作为转子故障诊断中识别故障、判断运行状态的特征量是可行的。As an experimental tool for analyzing movement of chaos, This paper intended to introduce the correlation dimension for analyzing vibration signals of rotor system. For noise corruption existing in field-measured vibration signal, morphological filter was also introduced four de-noising the vibration signal. The analysis and comparison between the correlation dimensions of the noised and de-noised vibration signals of rotor system at different states that are normal, oil whirl, local rub and full annular rub states have been done. The result shows that reflecting the system＇s characteristic with the correlation dimension of noised signal is largely unreliable, so the field-measured signal must be de-noised prior to the correlation dimension calculation. The favorable de-noising effect by morphological filter was also showed. The correlation dimension of de-noised vibration signals can reflect and distinguish various states of rotor effectively. As a character to identify the fault type and state of rotor in fault diagnosis, the correlation dimension after de-noising is feasible.

关 键 词：转子系统 分形 关联维数 形态滤波器 降噪 

分 类 号：TK288[动力工程及工程热物理—动力机械及工程]